dr. J. Wang (Jon)

Universitair docent
ITC-PGM
Langezijds
j.wang-4@utwente.nl
+31534894079
Visitekaartje

Expertises

  • Earth and Planetary Sciences

    • Metropolitan Area
    • Observation
    • Earth
    • Datum
    • Investigation
    • Morphology
    • Shape
    • Land Surface Temperature

Organisaties

Publicaties

2024
AI perceives like a local: predicting citizen deprivation perception using satellite imagery, Article 20, 1-14. Abascal, A., Vanhuysse, S., Grippa, T., Rodriguez-Carreño, I., Georganos, S., Wang, J., Kuffer, M., Martinez-Diez, P., Santamaria-Varas, M. & Wolff, E.https://doi.org/10.1038/s42949-024-00156-xA spatial data-driven urban pattern language framework for design and planning: Towards facilitation stakeholder participation. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Wu, C.https://doi.org/10.3990/1.9789036561631Feature-guided deep learning model for mapping deprived areasIn 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024. IEEE. Filho, P. S., Tareke, B., Persello, C., Kuffer, M., Maretto, R., Abascal, A., Wang, J. & MacHado, R.https://doi.org/10.1109/MIGARS61408.2024.10544988Making Urban Slum Population Visible: Citizens and Satellites to Reinforce Slum CensusesIn Urban Inequalities from Space: Earth Observation Applications in the Majority World (pp. 287-302). Abascal, A., Georganos, S., Kuffer, M., Vanhuysse, S., Thomson, D., Wang, J., Manyasi, L., Otunga, D. M., Ochieng, B., Ochieng, T., Klinnert, J. & Wolff, E.https://doi.org/10.1007/978-3-031-49183-2_14Putting the Invisible on the Map: Low-Cost Earth Observation for Mapping and Characterizing Deprived Urban Areas (Slums)In Urban Inequalities from Space: Earth Observation Applications in the Majority World (pp. 119-137). Vanhuysse, S., Kuffer, M., Georganos, S., Wang, J., Abascal, A., Grippa, T. & Wolff, E.https://doi.org/10.1007/978-3-031-49183-2_7
2023
Enhancing the predictive performance of remote sensing for ecological variables of tidal flats using encoded features from a deep learning model, Article 2163048. Madhuanand, L., Philippart, C. J. M., Wang, J., Nijland, W., de Jong, S. M., Bijleveld, A. I. & Addink, E. A.https://doi.org/10.1080/15481603.2022.2163048Mapping and characterising buildings for flood exposure analysis using open-source data and artificial intelligence, 805-835. Bhuyan, K., van Westen, C., Wang, J. & Meena, S. R.https://doi.org/10.1007/s11069-022-05612-4Urban spatial structure from a street network perspective: mapping street patterns with random forest classificationIn The 18th International Conference on Computational Urban Planning and Urban Management. Centre for Open Science. Wu, C., Wang, J. & Kraak, M. J.https://osf.io/j3n8xIDeaMapSudan: Geo-spatial modelling of urban povertyIn 2023 Joint Urban Remote Sensing Event (JURSE) (pp. 1-4). IEEE. Kuffer, M., Ali, I. M. M., Gummah, A., Da Silva Mano, A., Sakhi, W., Kushieb, I., Girgin, S., Eltiny, N., Kumi, J., Abdallah, M., Bad, M., Ahmed, F., Hamza, M., Wang, J., Elzaki, T., Gevaert, C. & Flasse, C.https://doi.org/10.1109/JURSE57346.2023.10144211EO + Morphometrics: Understanding cities through urban morphology at large scale, Article 104691. Wang, J., Fleischmann, M., Venerandi, A., Romice, O., Kuffer, M. & Porta, S.https://doi.org/10.1016/j.landurbplan.2023.104691

Onderzoeksprofielen

Vakken collegejaar 2023/2024

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.

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